Re: r-Squared Question



In article <1121175957.796245.150510@xxxxxxxxxxxxxxxxxxxxxxxxxxxx>,
Predictor <predictr@xxxxxxxxxxxxxxxx> wrote:

>I am trying to undertand r-squared (the coefficient of determination)
>of regression lines. If r, which is squared to obtain r-squared, is
>the correlation between the predicted Y and the observed Y, then
>doesn't that mean that any regression line whose predicted Y is a
>perfect linear function of the observed Y has an r (and thus r-squared)
>of 1?

That's true. You may be a bit confused, however. The only way that
the predicted and observed Y can be related by a linear function is if
the predicted and observed Y are identical (ie, the linear function is
observed=predicted). You may be confusing "predicted value" with
"predictor" (also known as a covariate or explanatory variable). The
predicted value is the linear function of the covariates in which the
coefficients are those found by fitting to the data.

----------------------------------------------------------------------------
Radford M. Neal radford@xxxxxxxxxxxxxx
Dept. of Statistics and Dept. of Computer Science radford@xxxxxxxxxxxxxxxxxx
University of Toronto http://www.cs.utoronto.ca/~radford
----------------------------------------------------------------------------

.



Relevant Pages

  • Re: r-Squared Question
    ... Let's assume some observed data, which I hope makes my question ... regression procedure produces a linear ... >>perfect linear function of the observed Y has an r ... > "predictor". ...
    (sci.stat.math)
  • Re: Regression with Dichotomous Dependent Variables
    ... What immediately occurs to me is "discriminant function" for two ... and that may be why logistic regression is becoming ... I don't know how it works out for logistic regression, ... create a multi-variable predictor *composite* score. ...
    (sci.stat.math)
  • Re: Regression with Dichotomous Dependent Variables
    ... A discriminant function will predict which of two groups an observation likely belongs to ... Logistic regression makes no assumptions about the predictors. ... the linear regression approach violates a cardinal assumption -- the distribution of the disturbances is now strongly related to the predictor values. ...
    (sci.stat.math)
  • Re: Simple Question on Forward and backward regression
    ... through BACKWARD Regression must be reflected in FORWARD Regression as ... I found the most significant Predictor variables ... of stepwise regression, let alone forward/backward stepwise, which I know is flammable in some quarters. ... The F test in the forward direction to decide whether to add X1 to X3+X5 should be the same as the F test in the backward direction to decide whether to turf X1 out of X1+X3+X5. ...
    (sci.stat.math)
  • Re: Simple Q. about co-efficient in coded regression equation
    ... What I meant by Coded regression was, I did "Centering of Predictor" ... Software use "Stepwise Regression by default in Regression Analysis? ...
    (sci.stat.math)